Presently, Michael is engaged in establishing a multi-modal imaging technique where EEG and fMRI data are recorded continuously and synchonously. His work involves development, testing, quality assurance, and eventually using the technique to answer complex experimental questions. Aside from assuring that data are collected across the same state/time, the technique allows for data from one modality to inform the analysis of the other. Though this is still a novel, groundbreaking technique, past research has used peak amplitudes and latencies from event related potentials (ERP) to weight regressors in the the general linear model (GLM), which directs multiple linear regression of fMRI data.

Location

San Francisco, California, USA

Disciplines

• Psychology
• Biology
• Computer Sciences
• Neuroscience
• Physics

Affiliation

University of California, San Francisco

Website

http://gazzlab.com/Michael_Rubens.html